Background and Purpose— Recent innovations such as CT installation in ambulances may lead to earlier start of stroke-specific treatments. However, such technically complex mobile facilities require ...

Introduction: The term “headpulse” refers to imperceptible head movements associated with each cardiac contraction, as measured by a cranial accelerometry device with electrocardiogram leads. Prior ...

This project contains a machine learning implementation that aims to predict stroke occurance based on patient data. The model uses the Random Forest Algorithm to provide robust and interpretable ...

Research from Florida International University’s College of Business (FIU Business) found that a machine learning (ML) algorithm that uses hospital data and social determinants of health data can help ...

An algorithm developed by faculty at The University of Texas Health Science Center at Houston (UTHealth) can help physicians outside of major stroke treatment centers assess whether a patient ...

Google and Mayo Clinic researchers partner to develop new artificial intelligence (AI) algorithms to treat people with psychiatric illness and direct brain injuries, such as stroke. Google and Mayo ...

A new predictive tool in the form of a risk algorithm--dubbed QStroke--can help to identify and treat patients at risk of having a stroke, according to research recently published in BMJ. The ...

Abstract: A binarization algorithm based on strokes edge detection is presented which could binary the images of palm leaf manuscripts effectively with pretty performance in this paper. Firstly, the ...